The Expert on Experts and Expertise

Ericsson’s essential point is that expertise is a function of practice not talent. One key point he makes is that:

“Successful people spontaneously do things differently from those individuals who stagnate. They have different practice histories. Elite performers engage in what we call “deliberate practice”–an effortful activity designed to improve individual target performance. There has to be some way they’re innovating in the way they do things.” [Fast Company]

There’s more wisdom in that old joke on how to get to Carnegie Hall than we care to acknowledge. Ericsson’s handbook is $130 at Amazon which feels a bit rich. He has also published what appears to be a more accessible version of the same material in The Road to Excellence. It’s still $50 for the paperback version, but that puts it into my range.

The Expert on Experts

Successful people spontaneously do things differently.”

K. Anders Ericsson , author, “Cambridge Handbook of Expertise and Expert Performance“

Things you really need to learn

Both Stephen Downes and Guy Kawasaki have some thought provoking notions embedded in their lists. Neither will take you anywhere near as much time to read as they took to write their advice, so you can count on getting a pretty good return on your investment by leveraging their wisdom.

Stephen Downes – Things You Really Need to Learn – Half an Hour

Your school will try to teach you facts, which you’ll need to pass the test but which are otherwise useless. In passing you may learn some useful skills, like literacy, which you should cultivate. But Guy Kawasaki is right in at least this: schools won’t teach you the things you really need to learn in order to be successful, either in business (whether or not you choose to live life as a toady) or in life. Here, then, is my list. This is, in my view, what you need to learn in order to be successful. [Link] [Tags: ] [Comment]

Circles of knowledge and boundaries of ignorance

My latest column at Enterprise Systems Journal appears today. In it I take a look at the notion of developing an ongoing learning agenda by focusing on the boundaries of your ignorance. One key graf:

The late Isaac Asimov once observed that “the most exciting phrase to hear in science, the one that heralds new discoveries, is not ‘Eureka!’ but ‘that’s funny’.” What piques your curiosity is an excellent indicator of where your learning energies ought to be focused. Curiosity is an edge phenomenon where new inputs have enough structure and content from your perspective to emerge as something more than background noise and chaos, yet are not so well-defined as to be immediately classifiable. Becoming more mindful of the terminology, issues, and phenomenon that are separating themselves from background noise helps identify topics you should consider investing learning time in. [IT Learning at the Boundaries of Your Ignorance]

I started thinking about “boundaries of ignorance” and “circles of knowledge” while putting together a presentation on learning and knowledge management. I began with the simple notion of learning as expanding your circle of knowledge and quickly hit on the notion that expanding my circle of knowledge was simultaneously expanding the boundaries of my ignorance. The more things I learned, the more things I became aware of that I didn’t know.

In my teens, that manifested itself as reading everything I could lay my hands on in the quest for the “one right answer.” I wasn’t as smart as Alan Kay to realize early on that books had limits or could be wrong. I was so engrossed in the world that books opened up for me that it took quite a while to grasp their limits. My dad used to say that he could always tell when I had finished a book by my fervent belief in some new world view. In retrospect, I suspect my ignorance was growing faster than my knowledge. But I was more focused on the inside of the circle than on its contact with the rest of knowledge.

My first cut at visualizing this image was along the following lines:

Circle of knowledge

In this version, learning can be viewed as either expanding your circle of knowledge or as increasing your boundary of ignorance.  So, the more you learn the more you know, but also the more you know that you don’t know.  Depending on your temperament, this can be either encouraging or discouraging to your efforts to continue learning.

Formal schooling focuses attention on the inside of the circle and keeps you carefully inside the boundaries. The credentialing system of education looks backward at what you are supposed to have learned. On the plus side, a good school environment helps keep you from falling off the edge into material you are unable to understand or appreciate. I can remember trying to read various books on philosophy in my wildly eclectic romps through the public library during my high school days. All fields have their professional vocabulary and one purpose of schools is to introduce you to that vocabulary in a coherent order. While we are hard-wired to learn spoken languages simply by being immersed in them, I don’t think the same strategy would work as well for learning calculus or modern European history.

The danger of formal schooling (even when well done) is too much focus on what you already know. If you don’t push yourself out to the boundaries, you seriously limit your opportunities for significant new learning. Formal schooling tends to overly protect you from failure and, therefore, from opportunities for deeper learning. Granted, I’ve come to appreciate the importance of failure in real learning courtesy of my work with Roger Schank. The more important learning becomes as an ongoing career development activity, the more you have to deal with not knowing. This can become a real challenge as you advance in your career and as you become recognized for your expertise.

Over time and as you get farther away from your school days, your circle of knowledge starts to get spiky:

Spiky knowledgeYou become more expert and informed on certain topics at the expense of others. The nice, well-rounded, circle that might have characterized the end of a classical liberal arts education has been replaced with the distinctive profile of an expert in some particular domain.

If you assume that you do, in fact, need to continue to learn, regardless of your current level of expertise, is there some way to use this notion of the “boundary of ignorance” to guide ongoing learning? For an individual topic,

Monitoring your curiosity consists of becoming aware of terms, tools, topics, and techniques that you are encountering in your environment, yet are not part of your current knowledge and skills. As these become visible to you, the next step is to cluster and chunk that material into a learning agenda; a sequence of topics ranging from the nearly familiar to the barely recognized. [IT Learning at the Boundaries of Your Ignorance]

In addition to tuning into the language of a topic, you can also start to identify the experts and authorities who are working in the domain.

In general, your learning agenda is not likely to be a single topic. Instead, you will be pushing out along multiple dimensions. It might be helpful to visualize that process in terms of progress along several learning vectors. For example, I might group my learning activities along the following dimensions:

Learning vectors

This larger picture of learning would help assess what kind of balance I was striking across topics and whether that balance was suitable.

What you are left with at this point is a map for what you want to learn based on the edges of what you know now coupled with what captures your curiosity. What comes next is the effort to learn topic by topic and to fit that learning into the demands of performing.

 

Being smart about when to be diligent

This is an interesting refinement on my laziness vs. diligence argument a while back. The danger is that it just becomes a slightly more clever way to reinforce the Protestant ethic Properly interpreted, however, Ballard provides a logic for making diligence pay off in compound interest terms.

Let’s all get lazy

If you want to be lazy over a lifetime, work harder in high school, college or grad school. That’s the message from Stanton Ballard, geologist, geophysicist and inventor of “Mr. Ballard’s Lazy Lecture.”

Ballard’s view is, work hard now for a good job later that will earn you twice as much money, working half the time. If you take the lazy route in high school, you’ll work all your life for half the money in a job you don’t even like. “Work hard now, goof off later,” says Ballard, who has a doctorate and knows whereof he speaks. Stan and his wife, Trish, worked their assignments off for a major oil company so they could later exit the corporate world and focus on school activities with their two sons.

… 

[via Michell Medley in Worth Magazine]

The focus in Medley’s piece is on diligence in high school, but the argument is applicable more broadly.

Learning to go meta

[Cross posted at Future Tense]

I’m in the midst of reading John Thackara’s excellent In the Bubble: Designing in a Complex World, which will eventually warrant a full review.  Today, I want to pick up on one particular observation Thackara makes on the role of learning in organizations. He makes the point that

…the most important skills of all are so-called metacognitive skills–an understanding of guiding principles, of what really matters, and the abilility to filter out the growing flood of stuff that does not. “We need to be able to formulate new questions, ” [Howard] Gardner argues…”and not just rely on tasks or problems posed by others. We need the ability to learn in new ways, to evaluate our own progress, to be able to transfer knowledge from one context to another.” [pp.136-37, In the Bubble]

What makes this particularly important is that virtually no corporate training and precious little other training/education addresses these metacognitive skill issues. That’s partly because developing good metacognitive learning skills diminishes the relative importance of the training department. If you become adept at identifying and monitoring your own learning, you may well conclude that the organization’s curriculum bears little relationship to your needs.  

As individuals, we need to assess whether our learning mix includes sufficient attention to the metacognitive. Do we have a good sense of how we learn? How well can we identify gaps in our skills or knowledge and map those to useful learning opportunities? How accurately can we monitor our level of mastery of a new skill?

If we have the appropriate organizational influence, we should be asking similar questions of our organizational training and development programs.

John Sviokla blogging on technology and strategy

Dan Bricklin nicely summarizes most of the nice things I would have said in calling your attention to John Sviokla s new blog (Sviokla s Context). I think I can rightly take some credit for persuading John to add his voice and thinking to the mix. John and I first met twenty plus years ago at the Harvard Business School. John was just finishing his DBA (Doctor of Business Administration, not Data Base Administrator – this was HBS s original version of a Ph.D. in business that explicitly emphasized interdisciplinary thinking) as I was starting work on mine. He joined the faculty there and I worked as his research assistant for a while.

When HBS foolishly chose not to offer him tenure ten years later, I persuaded him to join me at Diamond, where he ended up becoming my boss again. Calling John quite bright is along the lines of describing Tom Brady as a pretty good quarterback. If you are at all interested in how technology and strategy fit together, John is someone you would best pay attention to.

John Sviokla s blog. As part of my work as a DiamondCluster Fellow I ve spent a lot of time talking with their vice-chairman and Global Managing Director of Innovation and Research John Sviokla and listening to his presentations. We ve also produced a few episodes of a podcast together. Prior to DiamondCluster (a consulting firm that merges technology and strategy consulting) John was a professor at Harvard Business School (not when I was there as I recall). He s quite bright and helps me understand big businesses and organizations.

John has recently started blogging at a somewhat regular pace (a new long post every day or so). Given the disclaimer that I have a financial interest in DiamondCluster, that I do consulting for them, that I talked with John about his blog a few weeks ago as this was starting, and that he pointed to me today when writing about Motorola wikis, etc., etc., I have to tell you this because I think I d be doing my readers a disservice if I didn t: John Sviokla s new blog is really worth reading. He covers technology and business in a way that will help people in both worlds. He brings interesting perspectives that remind you of those moments in business school when after 60 minutes of discussing a case in class it all starts making sense there s a way of looking at things I hadn t considered.

His blog is Sviokla s Context and it has an RSS feed.

John is trying to add his voice to the blogosphere. I think it s a welcome addition. A nice sign of the times as a blog may be pushing aside the white paper at a major consulting firm. [Dan Bricklin on John Sviokla]

Deliverables – the fundamental secret to improving knowledge work

I’ve been exploring the role of deliverables in understanding and improving knowledge work for a while. In January, I took another shot at articulating the link in a column in the Enterprise Systems Journal putting deliverables at the center of the challenge of improving knowledge work.

Knowledge work does not produce standardized, well-defined outputs. Instead, the value of its outputs depends on how well they match the unique needs of their users. No one is interested in a spreadsheet full of someone else’s data; no teacher is likely to value a copy of a paper you’ve submitted to another class. Understanding what aspects and features of a knowledge work product are most valuable to its intended user is key to focusing efforts on producing the desired deliverable. [The Fundamental Secret to Improving Knowledge Work – ESJ].

Our experience in industrial settings encourages us to look at the output as something that is already well-defined and well-understood. We focus on process changes that will produce the output more quickly or more cost-effectively. When we are doing knowledge work, we do better to focus on the deliverable longer and more mindfully. At a minimum we need to understand the user’s definition of quality, the balance between uniqueness and uniformity that will meet this level of quality, and the conditions that must be met to declare the work done.

Stay away from the net today

Truly excellent advice, which I intend to follow as soon as I finish this post. See you on Monday.

Stay away from the net today

Bitflux has a a good post today. I simply quote what they said on this April 1st:

Just go outside, enjoy the sun or do something else useful 🙂
The net is a waste of time today, and the day didn’t even really start in the US …

We already have Google Romance, Jeremy going to Google, and other fun stuff. Going out now. I’ll just clear my RSS reader on monday. 🙂 [Oliver Thylman – Thoughts]

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Trust, Verify, and Triangulate – column at ESJ

Back in December I wrote a column for the Enterprise Systems Journal on the notion of triangulation as a key data collection and analysis strategy that is increasingly relevant in an economy characterized by information abundance. My central point was that:

In organizational (and other) settings where you are attempting to make sense of—or draw useful inferences from—a multitude of noisy and conflicting sources, the principles of triangulation offer a workable strategy for developing useful insights in a finite and manageable amount of time.

In navigation, the more widely and evenly dispersed your sightings, the more precisely you can fix your position. Focus your data collection on identifying and targeting multiple sources of input that represent divergent, and possibly conflicting, perspectives. Within an organization, for example, work with supporters and opponents, both active and passive, of a proposed reorganization or systems deployment to develop an implementation strategy. When evaluating and selecting a new application, seek out a wider assortment of potential references, vendors, and analysts. [Trust, Verify, and Triangulate]

Since that column, I’ve watched several of the recurring discussions (e..g Doc Searls, Eric Norlin, and Kent Newsome) about the changing relations between MSM (Main Stream Media) and new media forms such as blogs. Thinking about the contrasts between information collection and analysis strategies sheds some light on this debate. We used to live in a world with a handful of authoritative sources we learned to trust. With a bit more sophistication we added verify’to trust. Both those strategies work in a world of small numbers of sources, but breakdown in the world of multiple, conflicting, and contradictory sources. Triangulation then emerges as a viable alternative.

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